Bangaly Kaba

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Recent work has used graphs to modelize expression data from microarray experiments, in view of partitioning the genes into clusters. In this paper, we introduce the use of a decomposition by clique separators. Our aim is to improve the classical clustering methods in two ways: first we want to allow an overlap between clusters, as this seems biologically(More)
Algorithm CPLCL (Classification by Preferential Clustered Link) for the classification graphs of syntactic variations, introduced by Ibekwe SanJuan in [10, 6], has the mathematical properties of single link clustering, since it is partly founded on the concept of component related to a subgraph, while avoiding the chain effect as much as possible. In spite(More)
We propose a graph-based decomposition methodology of a network of document features represented by a terminology graph. The graph is automatically extracted from raw data based on Natural Language Processing techniques implemented in the TermWatch system. These graphs are Small Worlds. Based on clique minimal separators and the associated graph of atoms: a(More)
Cellular phones have changed the way we live. A deeper understanding of how the attributes of these technologies influence end-users perceptions is an important issue. A better understanding of the cellular phone adoption and use process will inform our understanding of the diffusion process of other types of communication technologies. This empirical piece(More)
Africa needs access to the powerful information and communication tools of the internet in order to obtain the resources and efficiency essential for its sustainable development. Unfortunately, in 2014, the data from internetlivestats.com showed only 9.8% of African populations have access to the internet. This relative low internet penetration rate signals(More)